Prophecy Accelerates Adoption of Lakehouse Technology

Prophecy | June 22, 2022

Prophecy, the premier low-code platform for data engineering, today announced the release of Prophecy for Databricks, a powerful new service that enables building data pipelines for business intelligence and machine learning simpler and quicker. With a visual drag-and-drop canvas, this platform allows anybody interested in data engineering to visually and interactively create, deploy, and monitor data pipelines on Apache Spark.

Prophecy for Databricks, designed for usage by both seasoned data engineering teams and non-programmer data citizens, allows several more people to simply develop pipelines, transfer them to production, and expedite the transformation of enterprises to become data-driven. With 10x users enabled, data teams see a dramatic improvement in operational efficiency and data quality, allowing them to manage more pipelines than ever before.

According to IDC, data is being created at a 23% annual growth rate, which means that 181 zettabytes of data will be developed by 2025. Businesses are struggling to keep up with the rate at which data is growing. According to Gartner, the DBMS market is nearly $80 billion and has grown 22% in the last year, with cloud DBMS rising even faster than the overall DBMS market.

Existing data engineering products do not address the requirements of businesses and have proven to be overly complex and inefficient. Businesses can 10x data engineering with Prophecy for Databricks, resulting in dramatic increases in data practitioners' doing data engineering, individual productivity, data pipeline reliability, and data quality.

"The industry need for data & analytics far outstrips what can be produced by data engineers programming in notebooks. With this release of Prophecy for Databricks, we're providing powerful, visual tools that enable an order of magnitude more data users to quickly develop data pipelines, at the same level as programmers. This expansion of data engineering to non-programmers is the only way to realize the potential of data at scale."

Raj Bains, CEO and co-founder of Prophecy


Everything operates off of data, especially in our technologically advanced world. Through this virtual Data Analytics course, students train as Data Analysts, raising their skill levels in a valuable field that applies to almost any industry. The program focuses on extraction, transformation, and loading (ETL) of data from multiple platforms, creating visualizations from data and storytelling - what does the data mean in practical terms to your business?


Everything operates off of data, especially in our technologically advanced world. Through this virtual Data Analytics course, students train as Data Analysts, raising their skill levels in a valuable field that applies to almost any industry. The program focuses on extraction, transformation, and loading (ETL) of data from multiple platforms, creating visualizations from data and storytelling - what does the data mean in practical terms to your business?

Related News


DataRobot Announces the Availability of DataRobot Notebooks

DataRobot | January 11, 2023

On January 10, 2023, DataRobot, a pioneer in the artificial intelligence sector, announced the availability of DataRobot Notebooks, a notebooks solution completely integrated into the DataRobot AI platform that allows data scientists to collaborate across code-first workflows with single-click access to embedded notebooks. Notebooks are essential for data scientists to swiftly experiment and share findings via fast environment creation, interactive computation, and code fragments. However, as the number of notebook users in a data science company rises, data science teams face issues such as managing notebooks at scale, maintaining extensive dependencies, and overwhelming and expensive libraries for data science teams. Mike Leone, Senior Analyst at Enterprise Strategy Group, "We are entering a phase of AI governance where the collaboration and productivity gains of data science teams become increasingly important." He further mentioned, "With DataRobot Notebooks, the flexibility to develop in preferred environments, including open-source ML tooling or in the DataRobot AI platform, streamlines the code development experience and allows data scientists to better collaborate as a team in a unified environment." (Source – Businesswire) DataRobot Notebooks simplifies the process of code development experience for data science processes, emphasizing automation, scalability, reproducibility, and collaboration. In addition, this improved capacity provides the data science teams with unique values, including: Interoperability: DataRobot Notebooks is compliant and interoperable with the Jupyter Notebook standard, accelerating the onboarding process for the DataRobot AI platform. Centralized management: DataRobot Notebooks is a uniform environment with fine-grained access controls and centralized governance, allowing data scientists to swiftly collaborate, organize, and share notebooks and related assets across people and teams. Native integration within DataRobot: DataRobot Notebooks is natively connected with the DataRobot ecosystem, enabling data scientists to run their codes directly on the platform with all the required libraries and tools. Enhanced features: Users can now write and run custom code in cloud-based notebooks that provide access to scalable, private, and containerized computing environments. About DataRobot DataRobot is the pioneer in AI cloud, providing a uniform platform for all users, data types, and environments to expedite the delivery of AI into production. Trusted by worldwide clients across industries and verticals, including a third of the Fortune 50, and providing over a trillion forecasts to the world's best businesses.

Read More


Aimpoint Digital to Drive Value with Enhancement Through Gurobi Version 10’s New Features

Aimpoint Digital | January 10, 2023

On January 9, 2023, The pioneer in decision intelligence technology, Gurobi Optimization, announced the introduction of version 10 of its popular mathematical optimization software, Gurobi Optimizer. As a result, Aimpoint Digital, an analytics company committed to redefining businesses with data, will be able to use the power of mathematical optimization and prescriptive analytics to unlock client value by utilizing the significant features of Gurobi Optimizer version 10. Specifically, customers can experience the convenience of the latest gurobipy-pandas wrapper to build optimization models using Pandas data. This open-source project makes it simple and efficient for Pandas users to create mathematical models from data stored in DataFrames and Series, and read solutions back directly as Pandas objects. Yash Puranik, Principal Data Scientist at Aimpoint Digital, said, "The release of a Pandas API and a native MLflow API is a game changer." He also said, "Many of our clients require comprehensive models that combine the power of machine learning/forecasting methods with optimization for applications such as inventory management and supply chain optimization," In addition, he stated, "Natively integrating Gurobi with the data processing power of Python/Pandas and machine learning model-based predictions helps us develop more efficient and robust solutions for our clients." (Source – GlobeNewswire) Aimpoint Digital is built up of top-tier data scientists and operations research professionals that are competent in solving complex challenges such as employee rostering, production scheduling, inventory optimization, and demand allocation in logistics, supply chain, manufacturing, and related industries allocation. By combining their experience in machine learning, data analysis, and optimization, Aimpoint Digital continuously provides decision-makers with dependable decision assistance. David O'keefe, Ecosystem Director at Gurobi, stated, "In addition to this new model-building feature, Gurobi 10.0 includes the ability to solve even more real-world business problems, even faster and easier than before. We are excited to see how the latest release of the Gurobi Optimizer improves our partner's deployment frameworks and their customers' models." (Source – GlobeNewswire) About Gurobi Optimization Gurobi, the market leader in mathematical optimization software, produces the world's fastest and most powerful mathematical optimization solver, the Gurobi Optimizer, which is used by leading global companies across more than 40 industries to solve complex, real-world problems and make automated decisions that optimize their efficiency and profitability. About Aimpoint Digital Aimpoint Digital is an analytics company that leverages data to solve its clients' most challenging use cases, improve the efficiency of value chain processes, and transform consumer experiences. From integrating self-service analytics to implementing AI at scale and modernizing infrastructure environments, they work in transformational domains to enhance the performance of businesses.

Read More


Tredence Unveils ATOM.AI at NRF 2023 for Retailers and CPGs

Tredence Inc. | January 17, 2023

On 16 January 2023, Tredence, a global data science and AI solutions provider, announced the launch of an intelligently engineered platform, ATOM.AI. The platform is an end-to-end AI accelerator that accelerates data and analytics modernization. The announcement to launch ATOM.AI was made at the National Retail Federation (NRF), the leading retail industry show, for retailers and consumer goods companies. ATOM.AI assists industries in data transformation into winning results by reducing the time to value by fifty percent. This is possible with the platform's advanced AI/ML capabilities, pre-built feature stores, technical notebooks, deep data sets, and integrations with third parties. At NRF, Tredence will launch ATOM.AI, which powers the deployment and development of retail and CPG-centric AI applications 50% faster. The solution is built on the Databricks Lakehouse Platform. ATOM.AI is a data and AI platform powered by leading hyperscales which consists of five modules designed to drive efficiency AI solution development and deployment phase Data Works- to harmonize external and internal data and build a comprehensive feature store Algo Works - to accelerate ML model development and enhance algorithm performance UI/UX Works - to speed up application design with pre-built UI/UX templates Solution Works - pre-built AI/ML solutions for large industries Automation Works - integrates, orchestrates, deploys, and scales AI Soumendra Mohanty, Chief Strategy Officer, Tredence, said, "Enterprises across all industries are examining ways to embed AI into their core business processes. However, only 53 percent of AI projects make it from prototype to production. In contrast to the previous technology transformations, AI is vastly different." He added, "We are dealing with a nonlinear condition here. ATOM.AI equips companies to put AI at the center of their transformation strategy while also delivering on our last-mile AI mission. With ATOM.AI, Tredence places a heavy emphasis on ROI." (Source: PR NewsWire) About Tredence Tredence is a worldwide provider of data science solutions aiming to address AI's last-mile challenge. The gap between value realization and insight creation defines the last mile. Tredence has been acknowledged as a leader and a great place to work-certified in the Forrester WaveTM: Customer Analytics Services. The company is based in San Jose (California) and has offices in Foster City, Chicago, London, Toronto, and Bangalore.

Read More